Grando Adela, Farrish Susan, Boyd Cynthia, Boxwala Aziz
Division of Biomedical Informatics, University of California San Diego, La Jolla, California, USA.
AMIA Annu Symp Proc. 2012;2012:291-300. Epub 2012 Nov 3.
The intake of multiple medications in patients with various medical conditions challenges the delivery of medical care. Initial empirical studies and pilot implementations seem to indicate that generic safe and effective multi-drug prescription principles could be defined and reused to reduce adverse drug events and to support compliance with medical guidelines and drug formularies. Given that ontologies are known to provide well-principled, sharable, setting-independent and machine-interpretable declarative specification frameworks for modeling and reasoning on biomedical problems, we explore here their use in the context of multi-drug prescription. We propose an ontology for modeling drug-related knowledge and a repository of safe and effective generic prescription principles. To test the usability and the level of granularity of the developed ontology-based specification models and heuristic we implemented a tool that computes the complexity of multi-drug treatments, and a decision aid to check the safeness and effectiveness of prescribed multi-drug treatments.
患有各种疾病的患者服用多种药物对医疗护理的提供构成了挑战。初步的实证研究和试点实施似乎表明,可以定义并重复使用通用的安全有效多药处方原则,以减少药物不良事件,并支持遵守医学指南和药物处方集。鉴于本体论已知可为生物医学问题的建模和推理提供有原则、可共享、与环境无关且机器可解释的声明性规范框架,我们在此探讨其在多药处方背景下的应用。我们提出了一个用于对药物相关知识进行建模的本体论以及一个安全有效通用处方原则库。为了测试所开发的基于本体论的规范模型和启发式方法的可用性和粒度水平,我们实现了一个计算多药治疗复杂性的工具,以及一个用于检查规定的多药治疗安全性和有效性的决策辅助工具。